This leaderbord shows the overall ranking for Task 4 on the core datasets (LM-O, T-LESS, TUD-L, IC-BIN, ITODD, HB, YCB-V). For each method, the date of the latest considered submission is reported. If more submissions of a method are available for a dataset, the submission with the highest ARCore score is considered. The reported time is the average image processing time averaged over the core datasets.
Date (UTC) | Method | Test image | ARCore | ARLM-O | ART-LESS | ARTUD-L | ARIC-BIN | ARITODD | ARHB | ARYCB-V | Time (s) | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-08-22 | ZeroPose-One-Hypo | RGB-D | 0.348 | 0.272 | 0.156 | 0.536 | 0.307 | 0.362 | 0.462 | 0.341 | 9.756 | |
2023-09-20 | ZeroPose-Multi-Hypo-Refinement | RGB-D | 0.534 | 0.493 | 0.342 | 0.790 | 0.396 | 0.465 | 0.629 | 0.623 | ||
2023-09-04 | CNOS_fastSAM+MegaPose | RGB | 0.509 | 0.499 | 0.477 | 0.653 | 0.367 | 0.315 | 0.654 | 0.601 | 31.724 | |
2023-09-04 | CNOS_fastSAM+MegaPose MultiHyp | RGB | 0.534 | 0.529 | 0.498 | 0.687 | 0.385 | 0.339 | 0.684 | 0.616 | 35.477 |